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基于TM影像植被信息提取研究

黄青霞 李向新 杨莉

安徽农业科学Issue(14):6569-6571,3.
安徽农业科学Issue(14):6569-6571,3.

基于TM影像植被信息提取研究

Extracting the Vegetation Information Based on TM Images

黄青霞 1李向新 1杨莉2

作者信息

  • 1. 昆明理工大学国土资源工程学院,云南昆明650093
  • 2. 景洪市国土资源局,云南景洪666100
  • 折叠

摘要

Abstract

The vegetation information in study area was extracted based on TM remote sensing images.Through K-T transformation,the greenness,brightness,wetness were obtained.The correlation coefficient of components and NDVI for bands combination were calculated,the results of its classification with the classification results after k-t transformation were compared,as well as the classification results of the original image.Analysis showed that the bands combination and K-T transformation can improve the precision of remote sensing image classification,and the result of extracting the vegetation information based on bands combination is good,the precision is higher.

关键词

TM影像/K-T变换/植被信息/归一化植被指数(NDVI)/监督分类

Key words

TM images/ K-T transformation/ vegetation information/ NDVI/ Supervised classification

分类

农业科技

引用本文复制引用

黄青霞,李向新,杨莉..基于TM影像植被信息提取研究[J].安徽农业科学,2013,(14):6569-6571,3.

安徽农业科学

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